{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 0.准备数据\n",
    "x = [225.98, 247.07, 253.14, 457.85, 241.58, 301.01,  20.67, 288.64,\n",
    "       163.56, 120.06, 207.83, 342.75, 147.9 ,  53.06, 224.72,  29.51,\n",
    "        21.61, 483.21, 245.25, 399.25, 343.35]\n",
    "y = [196.63, 203.88, 210.75, 372.74, 202.41, 247.61,  24.9 , 239.34,\n",
    "       140.32, 104.15, 176.84, 288.23, 128.79,  49.64, 191.74,  33.1 ,\n",
    "        30.74, 400.02, 205.35, 330.64, 283.45]\n",
    "\n",
    "# 1.创建画布\n",
    "plt.figure(figsize=(20, 8), dpi=100)\n",
    "\n",
    "# 2.图像绘制（散点图）\n",
    "plt.scatter(x, y)\n",
    "\n",
    "# 3.图像显示\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 柱状图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 0.获取数据\n",
    "# 电影名字\n",
    "movie_name = ['雷神3：诸神黄昏','正义联盟','东方快车谋杀案','寻梦环游记','全球风暴','降魔传','追捕','七十七天','密战','狂兽','其它']\n",
    "# 横坐标\n",
    "x = range(len(movie_name))\n",
    "# 票房数据\n",
    "y = [73853,57767,22354,15969,14839,8725,8716,8318,7916,6764,52222]\n",
    "\n",
    "# 1.创建画布\n",
    "plt.figure(figsize=(20, 8), dpi=100)\n",
    "\n",
    "# 2.绘制\n",
    "plt.bar(x, y, width=0.5, color=['b','r','g','y','c','m','y','k','c','g','b'])\n",
    "\n",
    "# 2.1 x轴\n",
    "plt.xticks(x, movie_name, fontsize=15)\n",
    "\n",
    "# 2.2 网格\n",
    "plt.grid()\n",
    "\n",
    "# 2.3 标题\n",
    "plt.title(\"某月电影票房统计\", fontsize=25) \n",
    "\n",
    "# 3.显示\n",
    "plt.show()"
   ]
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